This is the dataset of the paper "Understanding how the Complexity of Genotype by Environment may Affect the Predictive Accuracy of Maize Hybrids Multi-environment Prediction Models Accounting Additive and Dominance Effects" (under review) The dataset comprises the adjusted phenotypes for each evaluated scenario (Adj_Phen_) and the kinship matrices (Kinships Matrices.RData, dominance effects-DDk- and additive effects-WW-
Abstract: In making decisions on the development of varieties and the identification of certain grow...
New proposals for models and applications of prediction processes with data on molecular markers may...
<p>Prediction of the phenotypes for a set of genotypes across multiple environments is a fundamental...
This is the dataset of the paper "Understanding how the Complexity of Genotype by Environment may Af...
University of Minnesota Ph.D. dissertation.March 2018. Major: Applied Plant Sciences. Advisor: Rex ...
The statistical analysis of multi-environment trial data aims to provide reliable and accurate predi...
Key message: Multi-environment models using marker-based kinship information for both additive and d...
The statistical analysis of multi-environment trial data aims to provide reliable and accurate predi...
Prediction of the phenotypes for a set of genotypes across multiple environments is a fundamental ta...
Genomic-enabled prediction models are of paramount importance for the successful implementation of g...
This dataset encompasses the adjusted phenotypes and the relationship matrices (additive, dominance,...
Breeding for drought tolerance is a challenging task that requires costly, extensive and precise phe...
Heterogeneity in genetic effects among environments (G\ua0×\ua0E) is a common phenomenon in crop pla...
The phenotypic data consisted of grain yield (ton/ha) records collected from two data sets of tropic...
In plant breeding, one of the main purpose of multi-environment trial (MET) is to assess the intensi...
Abstract: In making decisions on the development of varieties and the identification of certain grow...
New proposals for models and applications of prediction processes with data on molecular markers may...
<p>Prediction of the phenotypes for a set of genotypes across multiple environments is a fundamental...
This is the dataset of the paper "Understanding how the Complexity of Genotype by Environment may Af...
University of Minnesota Ph.D. dissertation.March 2018. Major: Applied Plant Sciences. Advisor: Rex ...
The statistical analysis of multi-environment trial data aims to provide reliable and accurate predi...
Key message: Multi-environment models using marker-based kinship information for both additive and d...
The statistical analysis of multi-environment trial data aims to provide reliable and accurate predi...
Prediction of the phenotypes for a set of genotypes across multiple environments is a fundamental ta...
Genomic-enabled prediction models are of paramount importance for the successful implementation of g...
This dataset encompasses the adjusted phenotypes and the relationship matrices (additive, dominance,...
Breeding for drought tolerance is a challenging task that requires costly, extensive and precise phe...
Heterogeneity in genetic effects among environments (G\ua0×\ua0E) is a common phenomenon in crop pla...
The phenotypic data consisted of grain yield (ton/ha) records collected from two data sets of tropic...
In plant breeding, one of the main purpose of multi-environment trial (MET) is to assess the intensi...
Abstract: In making decisions on the development of varieties and the identification of certain grow...
New proposals for models and applications of prediction processes with data on molecular markers may...
<p>Prediction of the phenotypes for a set of genotypes across multiple environments is a fundamental...